Formula Systems (1985) (FORTY) Return on Sales [ROS] (2009 - 2026)
Formula Systems (1985)'s Return on Sales [ROS] came in at 9.16% for Q2 2026, up 0.74 percentage points from 8.41% a year earlier but down 1.95 percentage points from the prior quarter.
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Analysis
Formula Systems (1985) (FORTY) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Formula Systems (1985) reported Return on Sales [ROS] of 8.54%, up 0.11 percentage points year-over-year; for FY2025, it came in at 7.47%, down 0.79 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -1.35 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 8.26% in FY2024 (+0.78 pp), 7.49% in FY2023 (-3.27 pp), 10.75% in FY2022 (+2.10 pp) and 8.65% in FY2021 (-0.17 pp).
- The five-year range for quarterly Return on Sales [ROS] is 5.87% (Q4 2025) to 2112.55% (Q4 2021).
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -0.38 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 2104.13 percentage points), and the weakest in Q4 2022 (a drop of 2103.39 percentage points).
- Business Quant data shows FORTY's Return on Sales [ROS] at 11.11% (Q1 2026), 5.87% (Q4 2025) and 7.83% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.59 Bn | 37.09 Bn | 1.60 Bn | 21.09% |
| 2 | Cognizant Technology Solutions | 32.87 Bn | 26.04 Bn | 1.83 Bn | 15.95% |
| 3 | Wipro | 22.10 Bn | 17.25 Bn | 745.00 Mn | 16.42% |
| 4 | Cdw | 20.94 Bn | 18.92 Bn | 1.32 Bn | 6.52% |
| 5 | Td Synnex | 19.62 Bn | 13.78 Bn | 1.43 Bn | 2.98% |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - | 15.85% |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn | 3.78% |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn | 2.79% |
| 9 | EPAM Systems | 7.08 Bn | 2.72 Bn | 429.57 Mn | 10.76% |
| 10 | Formula Systems (1985) | 1.79 Bn | -1.56 Bn | 158.43 Mn | 9.16% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.16% |
| Mar 31, 2026 | 11.11% |
| Dec 31, 2025 | 5.87% |
| Sep 30, 2025 | 7.83% |
| Jun 30, 2025 | 8.41% |
| Mar 31, 2025 | 8.00% |
| Dec 31, 2024 | 8.61% |
| Sep 30, 2024 | 8.73% |
| Jun 30, 2024 | 9.74% |
| Mar 31, 2024 | 8.96% |
| Dec 31, 2023 | 9.42% |
| Sep 30, 2023 | 8.89% |
| Jun 30, 2023 | 9.15% |
| Mar 31, 2023 | 9.07% |
| Dec 31, 2022 | 9.16% |
| Sep 30, 2022 | 9.17% |
| Jun 30, 2022 | 15.63% |
| Mar 31, 2022 | 9.13% |
| Dec 31, 2021 | 9.06% |
| Sep 30, 2021 | 8.61% |
API Access
Formula Systems (1985) Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=FORTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FORTY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();